Coastal Ocean Modeler

Coastal Ocean Modeler

The Ocean Cleanup

Rotterdam, Netherlands

THE ASSIGNMENT

• Implementation of numerical models simulating the dispersion of floating ocean plastics from river and offshore sources in target coastal areas.
• Sourcing high resolution ocean circulation data in coastal domains.
• Creation of source scenarios reproducing land-based and maritime emissions of ocean plastics into the marine environment.
• Guide and support the design of field work campaigns based on numerical modelling results.
• Refinement of modelling processes for simulating the fate of plastic pollution in coastal environments such as beaching, sinking degradation etc… based on learnings from the field and the literature.
• Creation of reports for impact monitoring and peer-reviewed scientific manuscripts.
• Production of intuitive and data-rich geographical data visualizations to orient our field scientists, simulate The Ocean Cleanup’s impact as well as engage internal and external stakeholders.
• Attendance and contribution to international scientific conferences.

PROFESSIONAL QUALIFICATIONS

“Even if you don’t meet every professional qualification listed, we strongly encourage you to apply if you believe you have the right skills, experience, and motivation to contribute to our mission. We recognize that talent and potential come in many forms, and we value diverse perspectives and unconventional career paths. If you’re passionate about the work we do and confident in your ability to make an impact, don’t hesitate to submit your application—we’d love to hear from you”

• Masters or PhD degree in environmental sciences, physical oceanography, coastal oceanography, numerical modelling or similar.
• At least two years of experience with ocean circulation and particle dispersal modelling for material in the ocean (plastics, oil spills, sediments, fish larvae etc.).
• Knowledge of coastal and ocean circulation processes.
• Proficiency with mathematical scripting and data science using software such as Python (preferred), R or Matlab.
• Proficiency with Geographic Information System (GIS).

PERSONAL QUALIFICATIONS

• Self-motivated, “can do” mentality.
• Intrinsic motivation to work on our ambitious and meaningful goal.
• Ability to clearly present, explain and summarize results.
• Excellent communications skills in English.
• Able to perform well in a fast-paced and challenging environment.
• Flexible team player.
• Ability to work independently.